Web-Based and Community-Based Music Information Extraction

2011 ◽  
pp. 243-274 ◽  
Keyword(s):  
Information Extraction ◽  
Community Based ◽  
Web Based ◽  
Music Information

scholarly journals Facilitators and barriers to the utilization of the ACT SMART Implementation Toolkit in community-based organizations: a qualitative study

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Aksheya Sridhar ◽  
Amy Drahota ◽  
Kiersten Walsworth
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Autism Spectrum ◽  
Ease Of Use ◽  
Science Literature ◽  
Community Based ◽  
Web Based ◽  
Community Based Organizations ◽  
Facilitators And Barriers ◽  
Acceptance Model

Abstract Background Evidence-based practices (EBPs) have been shown to improve behavioral and mental health outcomes for children diagnosed with autism spectrum disorder (ASD). Research suggests that the use of these practices in community-based organizations is varied; however, the utilization of implementation guides may bridge the gap between research and practice. The Autism Community Toolkit: Systems to Measure and Adopt Research-Based Treatments (ACT SMART) Implementation Toolkit is a web-based implementation toolkit developed to guide organization-based implementation teams through EBP identification, adoption, implementation, and sustainment in ASD community-based organizations. Methods This study examined the facilitators and barriers (collectively termed “determinants”) to the utilization of this toolkit, based on the perspectives of implementation teams at six ASD community-based organizations. Two independent coders utilized the adapted EPIS framework and the Technology Acceptance Model 3 to guide qualitative thematic analyses of semi-structured interviews with implementation teams. Results Salient facilitators (e.g., facilitation teams, facilitation meetings, phase-specific activities) and barriers (e.g., website issues, perceived lack of ease of use of the website, perceived lack of resources, inner context factors) were identified, highlighting key determinants to the utilization of this toolkit. Additionally, frequent determinants and determinants that differed across adapted EPIS phases of the toolkit were noted. Finally, analyses highlighted two themes: (a) Inner Context Determinants to use of the toolkit (e.g., funding) and (b) Innovation Determinants (e.g., all website-related factors), indicating an interaction between the two models utilized to guide study analyses. Conclusions Findings highlighted several factors that facilitated the utilization of this implementation guide. Additionally, findings identified key areas for improvement for future iterations of the ACT SMART Implementation Toolkit. Importantly, these results may inform the development, refinement, and utilization of implementation guides with the aim of increasing the uptake of EBPs in community-based organizations providing services to children with ASD and their families. Finally, these findings contribute to the implementation science literature by illustrating the joint use of the EPIS framework and Technology Acceptance Model 3 to evaluate the implementation of a web-based toolkit within community-based organizations.

Supporting Self-Management and Quality of Life in Bipolar Disorder with the Beta PolarUs App: Protocol for a Mixed-Methods Study (Preprint)

2022 ◽  
Author(s):  
Erin E Michalak ◽  
Steven J Barnes ◽  
Emma Morton ◽  
Heather O'Brien ◽  
Greg Murray ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Mixed Methods ◽  
Management Strategies ◽  
Community Based Participatory Research ◽  
Self Management ◽  
Community Based ◽  
Self Monitoring ◽  
Web Based ◽  
Beta Version

BACKGROUND Quality of life (QoL) is increasingly recognised as a key outcome of self-management interventions for bipolar disorder (BD). Mobile phone applications (apps) can increase access to evidence-based self-management strategies and provide real-time support. However, while individuals with lived experience desire support with monitoring and improving broader health domains, existing BD apps largely target mood symptoms only. Further, evidence from the broader mHealth literature has shown that the desires and goals of end-users are not adequately taken into account during app development, and as a result engagement with mental health apps is suboptimal. To capitalise on the potential of apps to optimise wellness in BD, there is a need for interventions developed in consultation with real-world users that are designed to support QoL self-monitoring and self-management. Objective: This mixed methods pilot study is designed to evaluate the beta version of the newly developed PolarUs app, which aims to support QoL self-monitoring and self-management in people with BD. Developed using a community-based participatory research framework, the PolarUs app builds on the web-based adaptation of a BD-specific QoL self-assessment measure, and integrates material from a web-based portal providing information on evidence-informed self-management strategies in BD. OBJECTIVE The primary objectives of this project are to: (1) evaluate PolarUs app feasibility (via behavioral usage metrics); (2) evaluate PolarUs impact (via the Brief Quality of Life in Bipolar Disorders, QoL.BD scale, our primary outcomes measure); and (3) explore engagement with the PolarUs app (via both quantitative and qualitative methods). METHODS Study participants will be North American residents (N=150) aged 18-65 years with a DSM-5 diagnosis of BD-I, BD-II or BD not otherwise specified (NOS) as assessed by a structured diagnostic interview. An embedded mixed-methods research design will be adopted; qualitative interviews with a purposefully selected sub-sample (~n=30) of participants will be conducted to explore in more depth feasibility, impact and engagement with the PolarUs app over the 12-week study period. RESULTS At the time of publication of this protocol, the development of the beta version of the PolarUs app is complete. Participant enrollment is expected to begin in February 2022. Data collection is expected to be completed by December 2022. CONCLUSIONS Beyond contributing knowledge on the feasibility and impacts of a novel app to support QoL and self-management in BD, this study is also expected to provide new knowledge on engagement with mHealth apps. Furthermore, it is expected to function as a case study of successful co-design between individuals living with BD, clinicians who specialise in the treatment of BD, and BD researchers, providing a template for future use of community-based participatory research frameworks in mHealth intervention development. Results will be used to further refine the PolarUs app and inform the design of a larger clinical trial.

Search Engine-Based Web Information Extraction

2011 ◽  
pp. 2048-2081
Author(s):  
Gijs Geleijnse ◽  
Jan Korst
Keyword(s):  
Semantic Web ◽  
Information Extraction ◽  
Search Engine ◽  
Community Based ◽  
Web Information Extraction ◽  
Structure Information ◽  
Web Information ◽  
Structured Information ◽  
The Web ◽  
Standard Semantic

In this chapter we discuss approaches to find, extract, and structure information from natural language texts on the Web. Such structured information can be expressed and shared using the standard Semantic Web languages and hence be machine interpreted. In this chapter we focus on two tasks in Web information extraction. The first part focuses on mining facts from the Web, while in the second part, we present an approach to collect community-based meta-data. A search engine is used to retrieve potentially relevant texts. From these texts, instances and relations are extracted. The proposed approaches are illustrated using various case-studies, showing that we can reliably extract information from the Web using simple techniques.

Maximizing the use of a web-based teaching skills curriculum for community-based volunteer faculty

2001 ◽  
Vol 21 (3) ◽  
pp. 158-161 ◽  
Author(s):  
Brent W. Beasley ◽  
Ken J. Kallail ◽  
Anne D. Walling ◽  
Nancy Davis ◽  
Laurie Hudson
Keyword(s):  
Teaching Skills ◽  
Community Based ◽  
Web Based

The Use of An Online Case Database to Obtain Clinical and Psychosocial Information Related to the Selection of and Experience with Initial Systemic Therapy for Multiple Myeloma.

Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 1408-1408
Author(s):  
Neil Love ◽  
Sagar Lonial ◽  
Kathryn Ziel ◽  
Douglas Paley ◽  
Melanie Elder ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Multiple Myeloma ◽  
Systemic Therapy ◽  
Trial Participation ◽  
Psychosocial Variables ◽  
Community Based ◽  
Term Survival ◽  
Web Based ◽  
Presenting Symptoms ◽  
Selection Of

Abstract Abstract 1408 Poster Board I-430 Background: Historically, available information on the clinical course of patients with cancer has been primarily derived from clinical trial reports, and population and hospital registries such as SEER and the American College of Surgeons. While these resources provide useful data on traditional clinical factors, presentation of the results can be delayed, the findings may not be reflective of community-based practice, and psychosocial variables are generally not included. To address these issues, we designed a web-based tool to gather multidimensional information in a rapid and reliable manner, which was pilot-tested in multiple myeloma (MM). Methods: A 60-question case form was developed that requested information on presenting symptoms, diagnostic workup, treatment selection and the treating physician's perceptions and observations of a number of psychosocial variables. US community-based medical oncologists were recruited to enter anonymous case data on patients in their practices diagnosed with MM since January 1, 2008. Invited physicians had previously participated in CME programs developed by our group, and were provided modest, per-patient honoraria. Results: From April 10-27, 2009, 41 physicians entered a total of 203 MM cases in the data bank (minimum 2 cases, maximum 10, median 5). The median patient age was 67, 60% were men, 54% were retired, 97% had health insurance and 64% lived with a spouse or partner, most of whom accompanied the patient to office visits. In 64% of cases, physicians believed that patients had “a great deal” of family support. In 80%, the patient was considered “very or somewhat” proactive toward obtaining medical information, and in 64% the oncologist provided a quantitative estimate of long-term survival. Physicians considered 71% of patients “calm and accepting” of the diagnosis. Only 36% of patients were PS 0, and multiple cancer-related symptoms were common. ISS staging and the use of cytogenetic analyses were inconsistent (Table 1). A variety of systemic regimens were initiated, and treatment resulted in “significant” or “major” toxicities in 21%. The most common side effects were fatigue (47%), neutropenia (28%), thrombocytopenia (25%) and peripheral neuropathy (24%). Bisphosphonates were administered to 77% of patients, mostly zoledronic acid (83%). Clinical trial participation was discussed in 34% of cases, and 22 people (11% of the total) enrolled in a study. In 15% of the cases the oncologist found management to be “somewhat” or “very” challenging and would have liked input on the case. Conclusions: This web-based instrument allowed rapid and efficient collection of relevant information and provided a snapshot of newly diagnosed MM in community-based practice. Clinical findings revealed several potential “knowledge gaps,” represented by heterogeneity in the selection of initial systemic therapy and the lack of adequate staging and prognostic information, including cytogenetics. The psychosocial data obtained may be useful in planning MM support programs, and could be compared to similar information gathered directly from patients. Furthermore, in almost one in six cases, oncologists would have liked to have assistance in making management decisions. These initial findings document the need for related clinical support and education programs that use this information as a benchmark for improvement. Disclosures: Lonial: Amgen, Inc: Consultancy; Bristol-Myers Squibb Co: Consultancy; Celgene Corp: Consultancy; Millennium Pharmaceuticals Inc: Consultancy; Novartis Pharmaceuticals Corp: Consultancy; Ortho Biotech Products LP: Consultancy.

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